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{ "item_title" : "Periodic Pattern Mining", "item_author" : [" R. Uday Kiran", "Philippe Fournier-Viger", "Jose M. Luna "], "item_description" : "Chapter 1: Introduction to Data Mining.- Chapter 2: Discovering Frequent Patterns in Very Large Transactional Database.- Chapter 3: Discovering Periodic Frequent Patterns in Temporal Databases.- Chapter 4: Discovering Fuzzy Periodic Frequent Patterns in Quantitative Temporal Databases.- Chapter 5: Discovering Partial Periodic Patterns in Temporal Databases.- Chapter 6: Finding Periodic Patterns in Multiple Sequences.- Chapter 7: Discovering Self Reliant Patterns.- Chapter 8: Finding Periodic High Utility Patterns in Sequence.- Chapter 9: Mining Periodic High Utility Sequential Patterns with Negative Unit Profits.- Chapter 10: Hiding Periodic High Utility Sequential Patterns.- Chapter 11: NetHAPP.- Chapter 12: Privacy Preservation of Periodic Frequent Patterns using Sensitive Inverse Frequency.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/163/966/9811639663_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Periodic Pattern Mining|R. Uday Kiran

Periodic Pattern Mining : Theory, Algorithms, and Applications

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Overview

Chapter 1: Introduction to Data Mining.- Chapter 2: Discovering Frequent Patterns in Very Large Transactional Database.- Chapter 3: Discovering Periodic Frequent Patterns in Temporal Databases.- Chapter 4: Discovering Fuzzy Periodic Frequent Patterns in Quantitative Temporal Databases.- Chapter 5: Discovering Partial Periodic Patterns in Temporal Databases.- Chapter 6: Finding Periodic Patterns in Multiple Sequences.- Chapter 7: Discovering Self Reliant Patterns.- Chapter 8: Finding Periodic High Utility Patterns in Sequence.- Chapter 9: Mining Periodic High Utility Sequential Patterns with Negative Unit Profits.- Chapter 10: Hiding Periodic High Utility Sequential Patterns.- Chapter 11: NetHAPP.- Chapter 12: Privacy Preservation of Periodic Frequent Patterns using Sensitive Inverse Frequency.

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Details

  • ISBN-13: 9789811639661
  • ISBN-10: 9811639663
  • Publisher: Springer
  • Publish Date: October 2022
  • Dimensions: 9.21 x 6.14 x 0.57 inches
  • Shipping Weight: 0.85 pounds
  • Page Count: 263

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